Utility of radiomics features of diffusion-weighted magnetic resonance imaging for differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma: model development and external validation-Reference-Cited by-同舟云学术

Utility of radiomics features of diffusion-weighted magnetic resonance imaging for differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma: model development and external validation

Published:2022-04-15 Issue:6 Volume:47 Page:2178-2186
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Matsumoto Shunya,Arita Yuki,Yoshida Soichiro,Fukushima Hiroshi,Kimura Koichiro,Yamada Ichiro,Tanaka Hajime,Yagi Fumiko,Yokoyama Minato,Matsuoka Yoh,Oya Mototsugu,Tateishi Ukihide,Jinzaki Masahiro,Fujii Yasuhisa

Publisher

Springer Science and Business Media LLC

Subject

Urology,Gastroenterology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s00261-022-03486-5.pdf

Reference23 articles.

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2. Tanaka, H. et al. Stepwise algorithm using computed tomography and magnetic resonance imaging for diagnosis of fat-poor angiomyolipoma in small renal masses: Development and external validation. International Journal of Urology 24, 511–517 (2017).

3. Fujii, Y. et al. Incidence of Benign Pathologic Lesions at Partial Nephrectomy for Presumed RCC Renal Masses: Japanese Dual-Center Experience with 176 Consecutive Patients. Urology 72, 598–602 (2008).

4. Jinzaki, M. et al. Renal angiomyolipoma: A radiological classification and update on recent developments in diagnosis and management. Abdominal Imaging 39, 588–604 (2014).

5. Gillies, R. J., Kinahan, P. E. & Hricak, H. Radiomics: Images are more than pictures, they are data. Radiology 278, 563–577 (2016).

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